Growing interest in applications of AI in healthcare has led to a similarly elevated interest in fully integrated smart systems in which disparate technologies, such as biometric sensors and conversational agents, are combined to address health problems like medical event detection and response. Here we describe an ongoing project to develop a supportive health technology for stress detection and intervention and discuss a pilot application for one component, the conversational agent.
|Original language||English (US)|
|Title of host publication||Explainable AI in Healthcare and Medicine - Building a Culture of Transparency and Accountability|
|Editors||Arash Shaban-Nejad, Martin Michalowski, David L. Buckeridge|
|Publisher||Springer Science and Business Media Deutschland GmbH|
|Number of pages||7|
|State||Published - Nov 3 2020|
|Event||AAAI International Workshop on Health Intelligence, W3PHIAI 2020 - New York City, United States|
Duration: Feb 7 2020 → Feb 7 2020
|Name||Studies in Computational Intelligence|
|Conference||AAAI International Workshop on Health Intelligence, W3PHIAI 2020|
|City||New York City|
|Period||2/7/20 → 2/7/20|
Bibliographical noteFunding Information:
Acknowledgements Work supported in part by the University of Minnesota Grand Challenges Research, NSF I/UCRC (IIP-1439728) and NSF EAGER (IIS 1927190) grants. The authors would like to thank Anja Wiesner and Sarah Schmoller for their assistance in model and data development.
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